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<img src="" class="logo" alt=""><h1>Create a SparkDataFrame from an ORC file.</h1>
<div class="d-none name"><code>read.orc.Rd</code></div>
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<div class="ref-description section level2">
<p>Loads an ORC file, returning the result as a SparkDataFrame.</p>
</div>
<div class="section level2">
<h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">read.orc</span><span class="op">(</span><span class="va">path</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
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<h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
<dl><dt>path</dt>
<dd><p>Path of file to read.</p></dd>
<dt>...</dt>
<dd><p>additional external data source specific named properties.
You can find the ORC-specific options for reading ORC files in
<a href="https://spark.apache.org/docs/latest/sql-data-sources-orc.html#data-source-option" class="external-link">https://spark.apache.org/docs/latest/sql-data-sources-orc.html#data-source-option</a>Data Source Option in the version you use.</p></dd>
</dl></div>
<div class="section level2">
<h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
<p>SparkDataFrame</p>
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<h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2>
<p>read.orc since 2.0.0</p>
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